Alibaba Dharma Institute released 2019 top ten technology trends: digital identity will become the second ID card

Alibaba Dharma Institute released 2019 top ten technology trends: digital identity will become the second ID card

On January 2nd, Alibaba Dharma Institute released the "2019 Top Ten Technology Trends". In 2019, AI will remain the hottest direction in the tech world. If the AI ​​enters the reality from the laboratory in 2018, then 2019 will open a new starting point for the full cooperation between humans and AI. Dharma believes that real-time speech generation on mobile devices may not be distinguishable from live voice, and even voice AI will pass the Turing test in some specific conversations. In the city, there will be more and more talking facilities.

Although AI technology is the hottest development, it is biometric technology that is more mature than it is. The Dharma Institute believes that biometrics will enter the stage of large-scale application in 2019. In the past few years, many people have become accustomed to go out without a wallet and without cash. In the future, the era of going to the world without an ID card will not be too far away. With the rapid spread of 3D sensors and the integration of multiple biometrics, each device can “see” and “listen” smarter. Biometric and in vivo technologies will reshape identity and certification, and digital identity will become the person's second identity card.

In the 5G field that many people care about, Dharma believes that the connectivity of 5G networks will be enhanced to tens of billions, bringing a massive integration of machine-like communication and connectivity. With the advent of the 5G era, the network will evolve to cloud and software, and new application scenarios will be spawned. For example, road cooperation, industrial Internet and other fields will gain new technological capabilities.

At the Yunqi Conference in Hangzhou in 2018, the release of Hangzhou City Brain 2.0 made people once again shocked. The ability of the city's brain has expanded from the transportation field to the fine management of society including fire protection, urban construction and environment. The Dharma Institute believes that more and more cities in China will have urban brains. At the same time, real-time urban simulation is possible, urban local intelligence will be upgraded to global intelligence, and more power will be developed in the future for urban brain technology and application research. On the physical city, full-time perception, full-element linkage, and full-cycle iteration will be born. The smart city has greatly promoted the optimization of urban governance.

In 2018, the once-hot auto-driving experience was two days of ice and fire. From the capital companies to the general trend, the automatic driving winter was once rampant. Dharma believes that simply relying on the "cycling intelligence" to innovate the car, it will not be able to achieve the ultimate driverless for a long time, but does not mean that the automatic driving is completely into the cold winter. The road-to-technical route will speed up the arrival of driverless. In the next 2-3 years, the commercialization of autonomous driving, represented by limited scenes such as logistics and transportation, will usher in new progress. Commercial scenes such as fixed-line bus, unmanned distribution, and park micro-circulation will quickly land.

New technologies are embarrassing, but they also raise concerns about safety and risk. Therefore, network security will continue to be a hot spot in the field of technology in 2019. The Dharma Institute believes that in the next few years, hackers and black-product attacks will not stop, but data security protection technology will be launched. Governments will tend to introduce more stringent data security policies and regulations, and companies will invest more in personal data privacy protection. Cross-system data tracking and traceability related technologies will be more widely used.

Attached: Dharma Institute 2019 top ten technology trends:

Trend 1: Real-time simulation of cities is possible, the birth of smart cities

The city's public infrastructure's perceptual data and urban real-time pulsating data streams will be aggregated on the big computing platform. The development of computing power and algorithms will promote the real-time integration of unstructured information such as video and other structured information. Urban real-time simulation becomes possible. Intelligence will be upgraded to global intelligence. In the future, more power will be developed for the research and development of urban brain technology and applications. On the physical city, a smart city with full-time perception, full-element linkage, and full-cycle iteration will be born, which will greatly promote the optimization of urban governance. Ascension, it is expected that in the new year, more and more cities in China will have brains.

Trend 2: Voice AI passes the Turing test in specific areas

Alibaba Dharma Institute released 2019 top ten technology trends: digital identity will become the second ID card

With the standardization and low cost of the end-cloud integrated voice interaction module, there will be more and more talking public facilities. In each future, there will be at least one contact for voice interaction. With the advancement of smart voice technology, real-time voice generation on mobile devices and live voice may be indistinguishable, even through Turing tests in some specific conversations. Rules and even laws in this area will be gradually established to guide the industry towards standardization. ,

Trend 3: AI-specific chips will challenge the absolute dominance of GPUs

Alibaba Dharma Institute released 2019 top ten technology trends: digital identity will become the second ID card

In the current AI training scenario of the data center, data migration between computing and storage has become a bottleneck, and a new generation of AI chip architecture based on 3D stacked storage technology has become a trend.

The demand for data bandwidth in AI chips will further promote the widespread application of 3D stacked memory chips in AI training chips. Brain-like computing chips will further promote their development in finding more suitable applications. In the training scenario of the data center, the AI-specific chip will challenge the absolute dominance of the GPU. The AI ​​chip architecture that truly embodies Domain Specific will still be more reflected in many edge scenarios.

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